ソーシャルメディアを用いた新型コロナ禍における感情変化の分析

• 鳥海 不二夫

  東京大学

• 榊 剛史

  東京大学 株式会社ホットリンク

• 吉田 光男

  豊橋技術科学大学

書誌事項

タイトル別名

• Social Emotions Under the Spread of COVID-19 Using Social Media
• Analysis of emotional change in the COVID-19 disaster using social media

抄録

The spread of COVID-19, the so-called new coronavirus, is currently having an enormous social and economic impact on the entire world. Under such a circumstance, the spread of information about the new coronavirus on SNS is having a significant impact on economic losses and social decision-making. In this study, we investigated how the new type of coronavirus has become a social topic in Japan, and how it has been discussed. In order to determine what kind of impact it had on people, we collected and analyzed Japanese tweets containing words related to the new corona on Twitter. First, we analyzed the bias of users who tweeted. As a result, it is clear that the bias of users who tweeted about the new coronavirus almost disappeared after February 28, 2020, when the new coronavirus landed in Japan and a state of emergency was declared in Hokkaido, and the new corona became a popular topic. Second, we analyzed the emotional words included in tweets to analyze how people feel about the new coronavirus. The results show that the occurrence of a particular social event can change the emotions expressed on social media.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 35 (4), F-K45_1-7, 2020-07-01

  一般社団法人 人工知能学会

キーワード

• Information diffusion
• Social emotions
• SNS analysis
• COVID-19

詳細情報

• CRID: 1390285300171614592
• NII論文ID: 130007868000
• DOI: 10.1527/tjsai.f-k45
• ISSN: 13468030
• ISSN: 13460714
• Web Site: https://www.jstage.jst.go.jp/article/tjsai/35/4/35_F-K45/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
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